3 citations · 5 across the 12 of their papers we have counts for
12 papers
Quantum Arithmetic Circuits in Public-Key Cryptography
Siyi Wang, Kyungbae Jang, Hyunji Kim +4
Quantum computing has advanced rapidly in recent decades, driven by developments across the technology stack, including quantum error-correcting codes and efficient quantum algorit…
Efficient and Encrypted Inference using Binarized Neural Networks within In-Memory Computing Architectures
Gokulnath Rajendran, Suman Deb, Anupam Chattopadhyay
Binarized Neural Networks (BNNs) are a class of deep neural networks designed to utilize minimal computational resources, which drives their popularity across various applications.…
Securing the Internet of Medical Things (IoMT): Real-World Attack Taxonomy and Practical Security Measures
Suman Deb, Emil Lupu, Emm Mic Drakakis +4
The Internet of Medical Things (IoMT) has the potential to radically improve healthcare by enabling real-time monitoring, remote diagnostics, and AI-driven decision making. However…
SWAP Attack: Stealthy Side-Channel Attack on Multi-Tenant Quantum Cloud System
Wei Jie Bryan Lee, Siyi Wang, Suman Dutta +2
The rapid advancement of quantum computing has spurred widespread adoption, with cloud-based quantum devices gaining traction in academia and industry. This shift raises critical c…
On Exact Space-Depth Trade-Offs in Multi-Controlled Toffoli Decomposition
Suman Dutta, Siyi Wang, Anubhab Baksi +2
In this paper, we consider the optimized implementation of Multi Controlled Toffoli (MCT) using the Clifford T gate sets. While there are several recent works in this direction…
Federated Learning Optimization: A Comparative Study of Data and Model Exchange Strategies in Dynamic Networks
Alka Luqman, Yeow Wei Liang Brandon, Anupam Chattopadhyay
The promise and proliferation of large-scale dynamic federated learning gives rise to a prominent open question - is it prudent to share data or model across nodes, if efficiency o…
A Comprehensive Study of Quantum Arithmetic Circuits
Siyi Wang, Xiufan Li, Wei Jie Bryan Lee +3
In recent decades, the field of quantum computing has experienced remarkable progress. This progress is marked by the superior performance of many quantum algorithms compared to th…
PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale
Alka Luqman, Shivanshu Shekhar, Anupam Chattopadhyay
This work integrates peer-to-peer federated learning tools with NS3, a widely used network simulator, to create a novel simulator designed to allow heterogeneous device experiments…
Optimal Toffoli-Depth Quantum Adder
Siyi Wang, Suman Deb, Ankit Mondal +1
Efficient quantum arithmetic circuits are commonly found in numerous quantum algorithms of practical significance. Till date, the logarithmic-depth quantum adders includes a consta…
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU
Wei Zi, Siyi Wang, Hyunji Kim +3
In recent years, Quantum Machine Learning (QML) has increasingly captured the interest of researchers. Among the components in this domain, activation functions hold a fundamental…
Boosting the Efficiency of Quantum Divider through Effective Design Space Exploration
Siyi Wang, Eugene Lim, Anupam Chattopadhyay
Rapid progress in the design of scalable, robust quantum computing necessitates efficient quantum circuit implementation for algorithms with practical relevance. For several algori…
Privacy and Security Implications of Cloud-Based AI Services : A Survey
Alka Luqman, Riya Mahesh, Anupam Chattopadhyay
This paper details the privacy and security landscape in today's cloud ecosystem and identifies that there is a gap in addressing the risks introduced by machine learning models. A…